Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162619
Qiaobing Yao, Hualong Yu, Wankou Yang, Changyin Sun
This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coefficients, etc are calibrated by our proposed calibration toolbox. Then, our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion correction. The proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each image. Finally, panoramic image is composed by image registration and image fusion. Experimental results show that this method is valid.
{"title":"Research on panoramie vision system of mobile robot","authors":"Qiaobing Yao, Hualong Yu, Wankou Yang, Changyin Sun","doi":"10.1109/CCDC.2015.7162619","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162619","url":null,"abstract":"This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coefficients, etc are calibrated by our proposed calibration toolbox. Then, our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion correction. The proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each image. Finally, panoramic image is composed by image registration and image fusion. Experimental results show that this method is valid.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127543582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162066
Santosh Chavan, G. Raina
Bufferbloat refers to the problem of excessive queuing delays that are caused due to large, and unmanaged, router buffers in the Internet. The Proportional Integral Enhanced (PIE) queue policy has been proposed to explicitly control queuing delays in routers. In this paper, we study a fluid model for Compound TCP coupled with the PIE queue policy. A control-theoretic analysis of the fluid model highlights that it would be difficult to stabilize the system as the propagation delay, or the target queuing delay, gets large. We then computationally show that, as model parameters vary, loss of local stability may occur via a Hopf bifurcation. Finally, we conduct packet-level simulations to confirm the emergence of limit cycles, in the queue size, as the propagation delay or the target queuing delay increases.
{"title":"Performance of TCP with a Proportional Integral Enhanced (PIE) queue management policy","authors":"Santosh Chavan, G. Raina","doi":"10.1109/CCDC.2015.7162066","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162066","url":null,"abstract":"Bufferbloat refers to the problem of excessive queuing delays that are caused due to large, and unmanaged, router buffers in the Internet. The Proportional Integral Enhanced (PIE) queue policy has been proposed to explicitly control queuing delays in routers. In this paper, we study a fluid model for Compound TCP coupled with the PIE queue policy. A control-theoretic analysis of the fluid model highlights that it would be difficult to stabilize the system as the propagation delay, or the target queuing delay, gets large. We then computationally show that, as model parameters vary, loss of local stability may occur via a Hopf bifurcation. Finally, we conduct packet-level simulations to confirm the emergence of limit cycles, in the queue size, as the propagation delay or the target queuing delay increases.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124872963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7161798
Mei Xue, Yuan Xiaolong, Huang Jiashuang, M. Shilin, Ji WenTian
Independent component analysis (ICA) is a computational method for separating independent-source signals from a mixed-signal series. The common ICA method cannot be directly used for separating when there is only one sensor collecting the signals. To solve the problem of separating single-channel mixed signals, a novel method based on ICA and the convolutional wavelet packet is proposed to divide a blind source. The method provides a new approach for blind source separation when the number of original signals is limited. First, the sub-band data are obtained by a non-downsampling convolutional wavelet packet. Because the convolutional wavelet packet is not down-sampled, the lengths of different sub-band sequences are the same as the original signal and correspond to a certain frequency band. Second, to decrease the influence of edge frequency aliasing, each sub-band of the wavelet packet is processing using frequency division. Using preprocessing, the authors are able to create a multiple-channel mixed-signal series that can be used to obtain the inputs of the ICA. The method proposed in this paper was applied to blind source separation (BBS) using a simulated sine signal series; real signal series collected from a motor vibration testing platform are also used in testing. The results show that the method produces results in blind source separation that are equivalent to using multiple mixed signals directly.
{"title":"Separation of single-channel mixed signals based on the frequency-division of a convolution-type wavelet packet","authors":"Mei Xue, Yuan Xiaolong, Huang Jiashuang, M. Shilin, Ji WenTian","doi":"10.1109/CCDC.2015.7161798","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161798","url":null,"abstract":"Independent component analysis (ICA) is a computational method for separating independent-source signals from a mixed-signal series. The common ICA method cannot be directly used for separating when there is only one sensor collecting the signals. To solve the problem of separating single-channel mixed signals, a novel method based on ICA and the convolutional wavelet packet is proposed to divide a blind source. The method provides a new approach for blind source separation when the number of original signals is limited. First, the sub-band data are obtained by a non-downsampling convolutional wavelet packet. Because the convolutional wavelet packet is not down-sampled, the lengths of different sub-band sequences are the same as the original signal and correspond to a certain frequency band. Second, to decrease the influence of edge frequency aliasing, each sub-band of the wavelet packet is processing using frequency division. Using preprocessing, the authors are able to create a multiple-channel mixed-signal series that can be used to obtain the inputs of the ICA. The method proposed in this paper was applied to blind source separation (BBS) using a simulated sine signal series; real signal series collected from a motor vibration testing platform are also used in testing. The results show that the method produces results in blind source separation that are equivalent to using multiple mixed signals directly.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124896410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aiming at the problem that it is difficult to determine the shortest path of the intelligent vehicle races, a path optimization model for common sense is proposed in this paper. Several appropriate discrete points are chosen on the runway center line. According to the intelligent vehicle width and runway width some constraints are designed, and GA algorithm is used to optimize discrete points along the radius direction. In order to further verify the feasibility of the algorithm, a intelligent vehicle race track is established. Using the method expatiated above, a shorter path is obtained. Therefore the effectiveness of the optimization model is verified, and the purpose of using a shorter path to get shorter time is reached.
{"title":"Path optimization of intelligent vehicle races based on GA","authors":"Weimeng Xiong, Yu Wang, Jiahui Wang, Zheyuan Bi, Hailiang Shi, S. Zheng","doi":"10.1109/CCDC.2015.7162109","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162109","url":null,"abstract":"Aiming at the problem that it is difficult to determine the shortest path of the intelligent vehicle races, a path optimization model for common sense is proposed in this paper. Several appropriate discrete points are chosen on the runway center line. According to the intelligent vehicle width and runway width some constraints are designed, and GA algorithm is used to optimize discrete points along the radius direction. In order to further verify the feasibility of the algorithm, a intelligent vehicle race track is established. Using the method expatiated above, a shorter path is obtained. Therefore the effectiveness of the optimization model is verified, and the purpose of using a shorter path to get shorter time is reached.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162699
W. Junwei, Fan Xiaoyi
Deployed in harsh environment of wireless sensor network node is physically captured or damage easily, and its wireless communication pattern may lead network vulnerable by all kinds of interference and attacks. Therefore, the routing security is particularly important. Based on the in-depth analysis of wireless sensor networks protocol - TEEN protocol, combined with the trustworthy evaluation mechanism, an improved TEEN based trust routing algorithm in wireless sensor networks is put forward. A dynamic trust management mode is designed to ensure the credibility of node. The cluster head selection strategy and routing strategy of TEEN are improved to ensure the energy efficiency of the network, and the periodic data collection mechanism is introduced to determine the survival state of node. The simulation and performance evaluation show that the proposed algorithm has better performance.
{"title":"Improved TEEN based trust routing algorithm in WSNs","authors":"W. Junwei, Fan Xiaoyi","doi":"10.1109/CCDC.2015.7162699","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162699","url":null,"abstract":"Deployed in harsh environment of wireless sensor network node is physically captured or damage easily, and its wireless communication pattern may lead network vulnerable by all kinds of interference and attacks. Therefore, the routing security is particularly important. Based on the in-depth analysis of wireless sensor networks protocol - TEEN protocol, combined with the trustworthy evaluation mechanism, an improved TEEN based trust routing algorithm in wireless sensor networks is put forward. A dynamic trust management mode is designed to ensure the credibility of node. The cluster head selection strategy and routing strategy of TEEN are improved to ensure the energy efficiency of the network, and the periodic data collection mechanism is introduced to determine the survival state of node. The simulation and performance evaluation show that the proposed algorithm has better performance.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125869675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162878
Kaibo Shi, Hong Zhu, S. Zhong, Yong Zeng, Yuping Zhang
This paper studies the problem of H∞ state estimation for neural networks with mixed time-varying delays. Firstly, based on a newly augmented Lyapunov-Krasovskii functional (LKF), novel delay-dependent conditions are obtained such that the error system is globally asymptotically stable with H∞ performance index γ. Secondly, less conservative stable results are established by employing some effective mathematical techniques and Wirtinger integral inequality. Besides, new activation function conditions are proposed by introducing an adjustable parameter σ. The wishful estimator gain matrix can be formed in terms of linear matrix inequalities (LMIs). Finally, one numerical example with simulations is given to demonstrate the effectiveness and the advantage of the theoretical results.
{"title":"H∞ state estimation for neural networks with mixed time delays","authors":"Kaibo Shi, Hong Zhu, S. Zhong, Yong Zeng, Yuping Zhang","doi":"10.1109/CCDC.2015.7162878","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162878","url":null,"abstract":"This paper studies the problem of H∞ state estimation for neural networks with mixed time-varying delays. Firstly, based on a newly augmented Lyapunov-Krasovskii functional (LKF), novel delay-dependent conditions are obtained such that the error system is globally asymptotically stable with H∞ performance index γ. Secondly, less conservative stable results are established by employing some effective mathematical techniques and Wirtinger integral inequality. Besides, new activation function conditions are proposed by introducing an adjustable parameter σ. The wishful estimator gain matrix can be formed in terms of linear matrix inequalities (LMIs). Finally, one numerical example with simulations is given to demonstrate the effectiveness and the advantage of the theoretical results.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126081746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162073
Pu Qiao, Dali Zhang, Xiao Liu
The paper proposes a model for a supply chain system with remanufacturing processes. We use the model to investigate an inventory management strategy where the reliability information of products being used at the customers are integrated into the optimal analysis. The reliability information is characterized by Nelson's Cumulative Exposure (CE) model (Nelson 1990). By doing so, our study shows that a data set of products' failure and install times at the customer side can promote the accuracy of solutions to the optimal policy.
{"title":"Optimal inventory policies with product reliability information","authors":"Pu Qiao, Dali Zhang, Xiao Liu","doi":"10.1109/CCDC.2015.7162073","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162073","url":null,"abstract":"The paper proposes a model for a supply chain system with remanufacturing processes. We use the model to investigate an inventory management strategy where the reliability information of products being used at the customers are integrated into the optimal analysis. The reliability information is characterized by Nelson's Cumulative Exposure (CE) model (Nelson 1990). By doing so, our study shows that a data set of products' failure and install times at the customer side can promote the accuracy of solutions to the optimal policy.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126169557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162783
Wang Wei-chao, Qin Shi-qiao, Wu Wei, Zheng Jia-xing
We focus on the pitch motion prediction for the ship heading maneuver operation. A dual Autoregressive (AR) model is proposed to sensitively predict the ship pitch motion time series data, comparing to the tradition AR model, which is incapable of predicting the static component of the ship pitch motion time series data. Potential application of this work is establishing a superior real-time ship motion predict system.
{"title":"Prediction of ship pitch motion by dual autoregressive model","authors":"Wang Wei-chao, Qin Shi-qiao, Wu Wei, Zheng Jia-xing","doi":"10.1109/CCDC.2015.7162783","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162783","url":null,"abstract":"We focus on the pitch motion prediction for the ship heading maneuver operation. A dual Autoregressive (AR) model is proposed to sensitively predict the ship pitch motion time series data, comparing to the tradition AR model, which is incapable of predicting the static component of the ship pitch motion time series data. Potential application of this work is establishing a superior real-time ship motion predict system.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123289510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7162331
Ning Yi, Wang Dazhi, Jiang Xue-chen, Liu Zhen
When fault occurred in power grid, the fault location method based on aerial mode velocity and zero mode velocity of travelling wave will reduce the accuracy of location, because that the zero mode velocity vary with the variance of frequency. To solve this problem, a combined method for fault location based on fault characteristic frequency is proposed in this paper. Firstly, the method analyzes the frequency characteristic of zero mode and aerial mode velocity. Secondly, it calculates the similarity index of initial wave and reflect wave under each frequency band. And then choose the frequency band with biggest similarity index as the characteristic frequency band. Then calculate the zero mode velocity in the band to do the fault location preliminary and correct the fault location using aerial model velocity finally. PSCAD/EMTDC simulation is built under different fault conditions. And the result illustrates the accuracy and reliability of the method.
{"title":"A travelling wave fault location combined method based on fault characteristic frequency band","authors":"Ning Yi, Wang Dazhi, Jiang Xue-chen, Liu Zhen","doi":"10.1109/CCDC.2015.7162331","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7162331","url":null,"abstract":"When fault occurred in power grid, the fault location method based on aerial mode velocity and zero mode velocity of travelling wave will reduce the accuracy of location, because that the zero mode velocity vary with the variance of frequency. To solve this problem, a combined method for fault location based on fault characteristic frequency is proposed in this paper. Firstly, the method analyzes the frequency characteristic of zero mode and aerial mode velocity. Secondly, it calculates the similarity index of initial wave and reflect wave under each frequency band. And then choose the frequency band with biggest similarity index as the characteristic frequency band. Then calculate the zero mode velocity in the band to do the fault location preliminary and correct the fault location using aerial model velocity finally. PSCAD/EMTDC simulation is built under different fault conditions. And the result illustrates the accuracy and reliability of the method.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125269294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-05-23DOI: 10.1109/CCDC.2015.7161802
Peng Li, Jinlong Yang, H. Ge, Huanqing Zhang
Gaussian inverse Wishart probability hypothesis density (GIW-PHD) filter has proven to be a promising algorithm for multiple extended target tracking with shape estimation. However, as far as I know, this method only can be used in the single sensor tracking system, which cannot obtain the accurate state estimates for the complex tracking scenario. To solve this problem, we propose a multi-sensor GIW-PHD method by using the multiple sensor infusion technique, which is suitable to the multi-sensor tracking system for multiple extended target tracking. First, a novel measurement model of the extended target is constructed for multi-sensor in three-dimensional scenario, and then the fusion formulas of state update are derived. Simulation results show that the proposed algorithm has a better performance than that of the conventional GIW-PHD with a single sensor.
{"title":"Multi-sensor GIW-PHD filter for multiple extended target tracking","authors":"Peng Li, Jinlong Yang, H. Ge, Huanqing Zhang","doi":"10.1109/CCDC.2015.7161802","DOIUrl":"https://doi.org/10.1109/CCDC.2015.7161802","url":null,"abstract":"Gaussian inverse Wishart probability hypothesis density (GIW-PHD) filter has proven to be a promising algorithm for multiple extended target tracking with shape estimation. However, as far as I know, this method only can be used in the single sensor tracking system, which cannot obtain the accurate state estimates for the complex tracking scenario. To solve this problem, we propose a multi-sensor GIW-PHD method by using the multiple sensor infusion technique, which is suitable to the multi-sensor tracking system for multiple extended target tracking. First, a novel measurement model of the extended target is constructed for multi-sensor in three-dimensional scenario, and then the fusion formulas of state update are derived. Simulation results show that the proposed algorithm has a better performance than that of the conventional GIW-PHD with a single sensor.","PeriodicalId":273292,"journal":{"name":"The 27th Chinese Control and Decision Conference (2015 CCDC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125406460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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